Pressemitteilung: How do you build a foundation for trustworthy aviation data?

Insights from Cirium’s latest webinar reveal how robust data governance builds trust, enhances AI outcomes, and drives aviation forward.
Aviation runs on complex, fast-moving data. Every decision requires high levels of precision, and the interconnected nature of the industry means that data quality impacts operational, financial, and safety outcomes.
To address how organizations can manage this critical asset, Sarah Davis, VP for Data at Cirium, and Candice Parfitt, Head of Data Governance at Cirium, recently presented the Data Governance 101: Aviation Foundations webinar. They shared how Cirium structures its internal data governance and why establishing a solid data framework is essential for modern aviation operations.
Key highlights
• Trust is paramount: Data governance involves aligning the right people, processes, and technology to build reliable, accurate datasets.
• AI requires a solid foundation: Artificial intelligence magnifies data issues. Effective AI governance starts with trustworthy underlying data.
• Start small: Organizations should evaluate their maturity and tackle governance initiatives in small increments to provide immediate value.
• Human oversight remains necessary: While AI can augment governance by detecting inconsistencies, human review is crucial for accountability and accuracy.
Defining governance for aviation (....)

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-> Pressemitteilung: How do you build a foundation for trustworthy aviation data?

Quelle: LexisNexis Risk Solutions

Stichwörter: LexisNexis Risk Solutions, data governance framework, AI governance (Artificial Intelligence), PNT data (Positioning Navigation Timing), aviation data quality, siloed data risks, DG councils (Data Governance Councils), DPM roles (Data Product Managers), data observability tools, Collibra platform governance, RFI ambiguity (Reference/Reporting Framework Issues), cross‑functional data literacy, authoritative data sources

Kategorie(n): Geschäftsmodelle & Strategien